| Summary: | Fatalities about road accidents become one of the main issues in this country. The precaution step should be taken to create a map of the accident area to create awareness among road users. The problem is data about the accident cases get by a local authority does not provide the specific location of the accident cases. It only shows the number of accident cases in every section in Shah Alam. To solve this problem, data from social media will be used to get the specific location of accident cases around Shah Alam. This research aims to investigate the capability to extract data from twitter for the use of analytic purposes. There are 2 objectives used which is first, to analyse data from social media among the road user about the accident road on the hotspot area for analytic purpose. The second is to produce a map of the accident hotspot area in Shah Alam by using Twitter data. Methods use is divided by two which is one method in terms of coding by using Rstudio and another method is using ArcGIS software. There are 4 analysis was used which is data extraction analysis, data mining analysis, data usage analysis and data achieving analysis were done to produce the 2 types of result which are the location of accident cases that contain specific coordinate and a map of accident hotspot area in Shah Alam. As a conclusion, the objective of the research is successful by producing the 2 types of result and at the same time, the aim of the research was achieved by showed data that extract from Twitter can be used in creating a map of accident hotspot which is one of analytic purpose. © Published under licence by IOP Publishing Ltd.
|
|---|